BI Engineer II, Data Analytics, Global Data Analytics (GDA)

Benefits

Parental leave

Not verified not verified - source not recorded; timestamp not recorded

Non-birth-parent leave

Not verified not verified - source not recorded; timestamp not recorded

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

BI Engineer II, Data Analytics, Global Data Analytics (GDA) Hyderabad, Telangana, IND Join one of Amazon's most impactful analytics organizations, empowering the world's largest Accounts Receivable and Accounts Payable departments through advanced data capabilities and near real-time, actionable insights. Global Data Analytics (GDA) is the trusted analytics partner for Finance Operations, delivering data-driven solutions across global service centers and functions. We are looking for an exceptional Business Intelligence Engineer to own a high-visibility area within GDA. You will be a deeply analytical, business-obsessed BIE who translates ambiguous business problems into crisp analytical questions, answers them with data, and turns the answers into decisions. You will build dashboards, self-serve analytics, and AI-assisted insight products that are consumed by Finance Operations leaders across geographies. This is a role for someone who wants to sit close to the business, influence outcomes, and use AI as a force multiplier on traditional analytics. Key job responsibilities - Partner with Finance Operations leaders and process owners to frame business problems, define the right metrics, and deliver analytics that drive decisions. - Own the insight layer end-to-end: write advanced SQL against curated Finance Operations data, build and maintain Amazon QuickSight dashboards. - Design and ship AI-assisted analytics experiences, for example, natural-language Q&A over curated metrics, LLM-generated narratives for business reviews, anomaly summaries, and agentic workflows that automate repetitive analyst tasks. - Build self-serve analytics products so that business teams can answer their own "what" and "why" questions without a ticket queue, using Amazon's internal GenAI tooling (Amazon

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.